Ross ROSS = Recommend OSS · open-source software intelligence for agents

difyz9/ytb2bili

A fully functional automated video processing system that supports downloading videos from platforms such as YouTube, automatically generating subtitles, translating content, creating metadata, and scheduling uploads to Bilibili. observed · 2026-08-28

github.com/difyz9/ytb2bili · Go observed · 2026-08-28

Health v2 · maintenance only

79/100

  • Activity 97
  • Release rhythm 89
  • Longevity 20

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 2.0
  • age_days: 293
  • days_rel: 78
  • days_push: 22
  • n_releases_24m: 29

Full methodology

Adoption not part of the score

1618 stars · 239 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ytb2bili is a self-hosted video workflow application that automates downloading videos from YouTube, generating and translating subtitles, synthesizing voiceovers, creating AI metadata, and scheduling uploads to Bilibili. It combines a Go backend with a Next.js web console for task tracking, account linking, and manual review of the translation pipeline.

Use cases

  • automatically download YouTube videos and re-upload them to Bilibili
  • generate translated subtitles for videos
  • add AI-generated voiceover to translated videos
  • auto-generate video titles and descriptions with an LLM
  • schedule and queue batch video publishing to Bilibili
  • review translated subtitles with synchronized audio/video playback
  • run a local video translation pipeline with configurable steps

When to choose

  • you regularly republish YouTube content to Bilibili and want the whole pipeline automated
  • you need subtitle transcription, translation, and voiceover in one self-hosted tool
  • you want a web console to track, retry, and manage video processing tasks
  • you prefer a Docker-deployable Go service with configurable pipeline steps

When to avoid

  • you only need a simple one-off video downloader like yt-dlp
  • you need uploads to platforms other than Bilibili
  • you require a fully managed cloud service rather than self-hosting
  • you need a permissively licensed dependency - the repository has no explicit license

Facets

application · maturity active

video-processing speech-recognition nlp llm-inference tts workflow-automation web-framework scheduling media self-hosted self-hosted go youtube-to-bilibili subtitle-translation video-download ai-metadata-generation voiceover upload-automation nextjs-console video automation natural-language-processing docker web-server nodejs

1 source

Member repositories

RepositoryRoleHealth v2
difyz9/ytb2bilimain79

For agents

markdown · JSON · MCP: product_card(name="difyz9/ytb2bili")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem